app.py

import os
import requests
from io import BytesIO
from datetime import date
import tempfile

import gradio as gr
from PIL import Image, ImageDraw, ImageFont
from huggingface_hub import upload_file

from criteria import check_certification as check_certification_criteria
from org import join_finishers_org

CERTIFYING_ORG_LINKEDIN_ID = os.getenv("CERTIFYING_ORG_LINKEDIN_ID", "000000")
COURSE_TITLE = os.getenv("COURSE_TITLE", "AI Agents Fundamentals")


def download_profile_picture(profile_url: str):
    """Download profile picture from URL."""
    try:
        response = requests.get(profile_url)
        response.raise_for_status()  # Ensure we got a proper response
        return Image.open(BytesIO(response.content))
    except Exception as e:
        print(f"Error downloading profile picture from {profile_url}: {e}")
        # Return a default fallback image (a plain white 100x100 image)
        return Image.new("RGB", (100, 100), color="white")


def generate_certificate(certificate_path: str, name: str, profile_url: str):
    """Generate certificate image and PDF."""
    im = Image.open(certificate_path)
    d = ImageDraw.Draw(im)

    name_font = ImageFont.truetype("Quattrocento-Regular.ttf", 100)
    date_font = ImageFont.truetype("Quattrocento-Regular.ttf", 48)

    # Capitalize first letter of each name
    name = name.title()

    # Add name
    d.text((1000, 740), name, fill="black", anchor="mm", font=name_font)

    # Add profile picture just below the name
    profile_img = download_profile_picture(profile_url)
    profile_img = profile_img.resize((100, 100))
    im.paste(im=profile_img, box=(350, 700))

    # Add date
    d.text((1480, 1170), str(date.today()), fill="black", anchor="mm", font=date_font)

    # Save PDF
    pdf = im.convert("RGB")
    pdf.save("certificate.pdf")

    return im, "certificate.pdf"


def create_linkedin_button(username: str, cert_url: str | None) -> str:
    """Create LinkedIn 'Add to Profile' button HTML."""
    current_year = date.today().year
    current_month = date.today().month

    # Use the dataset certificate URL if available, otherwise fallback to default
    certificate_url = cert_url or "https://huggingface.co./agents-course-finishers"

    linkedin_params = {
        "startTask": "CERTIFICATION_NAME",
        "name": COURSE_TITLE,
        "organizationName": "Hugging Face",
        "organizationId": CERTIFYING_ORG_LINKEDIN_ID,
        "organizationIdissueYear": str(current_year),
        "issueMonth": str(current_month),
        "certUrl": certificate_url,
        "certId": username,  # Using username as cert ID
    }

    # Build the LinkedIn button URL
    base_url = "https://www.linkedin.com/profile/add?"
    params = "&".join(
        f"{k}={requests.utils.quote(v)}" for k, v in linkedin_params.items()
    )
    button_url = base_url + params

    message = f"""
        <a href="{button_url}" target="_blank" style="display: block; margin-top: 20px; text-align: center;">
            <img src="https://download.linkedin.com/desktop/add2profile/buttons/en_US.png" 
                 alt="LinkedIn Add to Profile button">
        </a>
    """
    message += """
        <a href="https://huggingface.co./agents-course-finishers" target="_blank" 
           style="display: inline-block; background-color: #fff7e0; border: 2px solid #ffa500; 
                  border-radius: 10px; padding: 10px 20px; margin: 20px auto; text-align: center; 
                  text-decoration: none; color: #000; white-space: nowrap;">
            <img src="https://agents-course-unit1-certification-app.hf.space/gradio_api/file=/usr/local/lib/python3.10/site-packages/gradio/icons/huggingface-logo.svg" 
                 style="display: inline-block; height: 20px; vertical-align: middle; margin-right: 10px;">
            <span style="display: inline-block; vertical-align: middle; color: #000;">You are now an Agents Course Finisher</span>
        </a>
    """

    return message


def upload_certificate_to_hub(username: str, certificate_img) -> str:
    """Upload certificate to the dataset hub and return the URL."""
    # Save image to temporary file
    with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as tmp:
        certificate_img.save(tmp.name)

        try:
            # Upload file to hub
            repo_id = "agents-course/certificates"
            path_in_repo = f"certificates/{username}/{date.today()}.png"

            upload_file(
                path_or_fileobj=tmp.name,
                path_in_repo=path_in_repo,
                repo_id=repo_id,
                repo_type="dataset",
                token=os.getenv("HF_TOKEN"),
            )

            # Construct the URL to the image
            cert_url = (
                f"https://huggingface.co./datasets/{repo_id}/resolve/main/{path_in_repo}"
            )

            # Clean up temp file
            os.unlink(tmp.name)

            return cert_url
        except Exception as e:
            print(f"Error uploading certificate: {e}")
            os.unlink(tmp.name)
            return None


def check_certification(
    token: gr.OAuthToken | None,
    profile: gr.OAuthProfile | None,
    custom_name: str | None = None,
):
    """Check certification status for logged-in user."""
    if token is None or profile is None:
        gr.Warning("Please log in to Hugging Face before checking certification!")
        return None, None, gr.Row.update(visible=False)

    username = profile.username

    # Use custom name if provided, otherwise fall back to profile name
    name = custom_name.strip() if custom_name and custom_name.strip() else profile.name
    profile_url = profile.picture

    if not username:
        return (
            "Please login with your Hugging Face account to check certification status",
            None,
            gr.Row.update(visible=False),
        )

    # Check certification criteria
    gr.Info("Collecting data from your course progress...")
    result = check_certification_criteria(username)

    # Generate certificate if passed
    if result.passed and result.certificate_path:
        certificate_img, pdf_path = generate_certificate(
            certificate_path=result.certificate_path,
            name=name,
            profile_url=profile_url,
        )

        # Upload certificate to hub and get URL
        cert_url = upload_certificate_to_hub(username, certificate_img)

        # Add LinkedIn button for passed certificates
        linkedin_button = create_linkedin_button(username, cert_url)
        result_message = f"{result.message}\n\n{linkedin_button}"
    else:
        certificate_img = None
        pdf_path = None
        result_message = result.message

    return (
        gr.update(visible=True, value=result_message, label="Grade"),
        gr.update(visible=result.passed, value=certificate_img, label="Certificate"),
    )


with gr.Blocks() as demo:
    gr.Markdown(
        """
    # Get your Certificate of Fundamentals of Agents 🎓
    The certification process is completely free.
    
    To earn this certificate, you need to complete <a href="https://hf.co/learn/agents-course/unit1/introduction" alt="Agent Course Unit 1"/>Unit 1 of the Agents Course</a> and **pass 80% of the final quiz**.

    Once you receive your certificate, don't hesitate to share it on X (and tag @huggingface) as well as on LinkedIn so that we can congratulate you.
    """
    )

    with gr.Row():
        # Add login button
        gr.LoginButton()

    # Add optional name input
    custom_name_input = gr.Textbox(
        label="Custom Name (Optional)",
        placeholder="Enter your name as you want it to appear on the certificate",
        info="Leave empty to use your Hugging Face profile name",
    )

    check_progress_button = gr.Button(value="Get My Certificate")

    output_text = gr.Markdown(visible=False, sanitize_html=False)
    output_img = gr.Image(type="pil", visible=False)

    check_progress_button.click(
        fn=check_certification,
        inputs=[custom_name_input],
        outputs=[output_text, output_img],
    ).then(
        fn=join_finishers_org,
    )


if __name__ == "__main__":
    demo.launch(debug=True, ssr_mode=False)